library(plotly)

x <- c(2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2013)
y_television <- c(74, 82, 80, 74, 73, 72, 74, 70, 70, 66, 66, 69)
y_internet <- c(13, 14, 20, 24, 20, 24, 24, 40, 35, 41, 43, 50)
data <- data.frame(x, y_television, y_internet)

xaxis <- list(title = "",
             showline = TRUE,
             showgrid = FALSE,
             showticklabels = TRUE,
             linecolor = 'rgb(204, 204, 204)',
             linewidth = 2,
             autotick = FALSE,
             ticks = 'outside',
             tickcolor = 'rgb(204, 204, 204)',
             tickwidth = 2,
             ticklen = 5,
             tickfont = list(family = 'Arial',
                             size = 12,
                             color = 'rgb(82, 82, 82)'))

yaxis <- list(title = "",
             showgrid = FALSE,
             zeroline = FALSE,
             showline = FALSE,
             showticklabels = FALSE)

margin <- list(autoexpand = FALSE,
              l = 100,
              r = 100,
              t = 110)

# Build the annotations

television_1 <- list(
  xref = 'paper',
  yref = 'y',
  x = 0.05,
  y = y_television[1],
  xanchor = 'right',
  yanchor = 'middle',
  text = ~paste('Television ', y_television[1], '%'),
  font = list(family = 'Arial',
              size = 16,
              color = 'rgba(67,67,67,1)'),
  showarrow = FALSE)

internet_1 <- list(
  xref = 'paper',
  yref = 'y',
  x = 0.05,
  y = y_internet[1],
  xanchor = 'right',
  yanchor = 'middle',
  text = ~paste('Internet ', y_internet[1], '%'),
  font = list(family = 'Arial',
              size = 16,
              color = 'rgba(49,130,189, 1)'),
  showarrow = FALSE)

television_2 <- list(
  xref = 'paper',
  x = 0.95,
  y = y_television[12],
  xanchor = 'left',
  yanchor = 'middle',
  text = paste('Television ', y_television[12], '%'),
    font = list(family = 'Arial',
                size = 16,
                color = 'rgba(67,67,67,1)'),
  showarrow = FALSE)

internet_2 <- list(
  xref = 'paper',
  x = 0.95,
  y = y_internet[12],
  xanchor = 'left',
  yanchor = 'middle',
  text = paste('Internet ', y_internet[12], '%'),
    font = list(family = 'Arial',
                size = 16,
                color = 'rgba(67,67,67,1)'),
  showarrow = FALSE)

fig <- plot_ly(data, x = ~x) 
fig <- fig %>% add_trace(y = ~y_television, type = 'scatter', mode = 'lines', line = list(color = 'rgba(67,67,67,1)', width = 2))  
fig <- fig %>% add_trace(y = ~y_internet, type = 'scatter', mode = 'lines', line = list(color = 'rgba(49,130,189, 1)', width = 4)) 
fig <- fig %>% add_trace(x = ~c(x[1], x[12]), y = ~c(y_television[1], y_television[12]), type = 'scatter', mode = 'markers', marker = list(color = 'rgba(67,67,67,1)', size = 8)) 
fig <- fig %>% add_trace(x = ~c(x[1], x[12]), y = ~c(y_internet[1], y_internet[12]), type = 'scatter', mode = 'markers', marker = list(color = 'rgba(49,130,189, 1)', size = 12)) 
fig <- fig %>% layout(title = "Main Source for News", xaxis = xaxis, yaxis = yaxis, margin = margin,
         autosize = FALSE,
         showlegend = FALSE,
         annotations = television_1) 
fig <- fig %>% layout(annotations = internet_1) 
fig <- fig %>% layout(annotations = television_2) 
fig <- fig %>% layout(annotations = internet_2)

fig

library(plotly)

month <- c('January', 'February', 'March', 'April', 'May', 'June', 'July',
           'August', 'September', 'October', 'November', 'December')
high_2014 <- c(28.8, 28.5, 37.0, 56.8, 69.7, 79.7, 78.5, 77.8, 74.1, 62.6, 45.3, 39.9)
low_2014 <- c(12.7, 14.3, 18.6, 35.5, 49.9, 58.0, 60.0, 58.6, 51.7, 45.2, 32.2, 29.1)
data <- data.frame(month, high_2014, low_2014)
data$average_2014 <- rowMeans(data[,c("high_2014", "low_2014")])

#The default order will be alphabetized unless specified as below:
data$month <- factor(data$month, levels = data[["month"]])

fig <- plot_ly(data, x = ~month, y = ~high_2014, type = 'scatter', mode = 'lines',
        line = list(color = 'transparent'),
        showlegend = FALSE, name = 'High 2014') 
fig <- fig %>% add_trace(y = ~low_2014, type = 'scatter', mode = 'lines',
            fill = 'tonexty', fillcolor='rgba(0,100,80,0.2)', line = list(color = 'transparent'),
            showlegend = FALSE, name = 'Low 2014') 
fig <- fig %>% add_trace(x = ~month, y = ~average_2014, type = 'scatter', mode = 'lines',
            line = list(color='rgb(0,100,80)'),
            name = 'Average') 
fig <- fig %>% layout(title = "Average, High and Low Temperatures in New York",
         paper_bgcolor='rgb(255,255,255)', plot_bgcolor='rgb(229,229,229)',
         xaxis = list(title = "Months",
                      gridcolor = 'rgb(255,255,255)',
                      showgrid = TRUE,
                      showline = FALSE,
                      showticklabels = TRUE,
                      tickcolor = 'rgb(127,127,127)',
                      ticks = 'outside',
                      zeroline = FALSE),
         yaxis = list(title = "Temperature (degrees F)",
                      gridcolor = 'rgb(255,255,255)',
                      showgrid = TRUE,
                      showline = FALSE,
                      showticklabels = TRUE,
                      tickcolor = 'rgb(127,127,127)',
                      ticks = 'outside',
                      zeroline = FALSE))

fig

dens <- with(diamonds, tapply(price, INDEX = cut, density))
df <- data.frame(
  x = unlist(lapply(dens, "[[", "x")),
  y = unlist(lapply(dens, "[[", "y")),
  cut = rep(names(dens), each = length(dens[[1]]$x))
)

fig <- plot_ly(df, x = ~x, y = ~y, color = ~cut) 
fig <- fig %>% add_lines()

fig

fig <- plot_ly(data = iris, x = ~Sepal.Length, y = ~Petal.Length, color = ~Species)

fig

fig <- plot_ly(data = iris, x = ~Sepal.Length, y = ~Petal.Length, color = ~Species, colors = "Set1")
fig

fig <- plot_ly(data = iris, x = ~Sepal.Length, y = ~Petal.Length, type = 'scatter',
  mode = 'markers', symbol = ~Species, symbols = c('circle','x','o'),
  color = I('black'), marker = list(size = 10))
fig

d <- diamonds[sample(nrow(diamonds), 1000), ]

fig <- plot_ly(
  d, x = ~carat, y = ~price,
  color = ~carat, size = ~carat
)

fig

d <- diamonds[sample(nrow(diamonds), 1000), ]

fig <- plot_ly(
  d, x = ~carat, y = ~price,
  # Hover text:
  text = ~paste("Price: ", price, '$<br>Cut:', cut),
  color = ~carat, size = ~carat
)

fig

x=c("giraffes", "orangutans", "monkeys")
y=c(20, 14, 23)
fig <- plot_ly(
  x = x ,
  y = y ,
  name = "SF Zoo",
  type = "bar"
)

fig

Animals <- c("giraffes", "orangutans", "monkeys")
SF_Zoo <- c(20, 14, 23)
LA_Zoo <- c(12, 18, 29)
data <- data.frame(Animals, SF_Zoo, LA_Zoo)

fig <- plot_ly(data, x = ~Animals, y = ~SF_Zoo, type = 'bar', name = 'SF Zoo')
fig <- fig %>% add_trace(y = ~LA_Zoo, name = 'LA Zoo')
fig <- fig %>% layout(yaxis = list(title = 'Count'), barmode = 'group')

fig